Publications

Mohammad Hamad, Zain AH Hammadeh, Davide Alessi, Monowar Hasan, Mert D. Pesé, Daniel Lüdtke, Sebastian Steinhorst (2025). Enhancing Security Through Task Migration in Software-Defined Vehicles. IEEE Internet of Things Journal.
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Iwinosa Aideyan, Mert D. Pesé, Richard Brooks (2025). Advancing Automotive Software Supply Chain Security: A Blockchain-Reproducible Build Approach. In GVSETS'25.
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Pedram MohajerAnsari, Amir Salarpour, Michael Kühr, Siyu Huang, Mohammad Hamad, Sebastian Steinhorst, Habeeb Olufowobi, Mert D. Pesé (2025). On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving. arXiv preprint arXiv:2506.11472.
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David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Cigdem Kokenoz, Bing Li, Mert D. Pesé (2025). WIP: From Detection to Explanation: Using LLMs for Adversarial Scenario Analysis in Vehicles. 3rd USENIX Symposium on Vehicle Security and Privacy (VehicleSec ‘25).
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Ashton McEntarffer, Linxi Zhang, Yu Wei Liu, Mert D. Pesé (2025). Towards a Comprehensive Evaluation of Voltage-Based Fingerprinting for the CAN Bus. Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing.
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Richard Brooks, Iwinosa Aideyan, Mert D. Pesé (2025). Security and data privacy of modern automobiles. Data Analytics for Intelligent Transportation Systems.
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Mert D. Pesé, Bulut Gozubuyuk, Eric Andrechek, Habeeb Olufowobi, Mohammad Hamad, Kang G Shin (2025). MichiCAN: Spoofing and Denial-of-Service Protection using Integrated CAN Controllers. 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks.
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John McShane, Levent Celik, Iwinosa Aideyan, Richard Brooks, Mert D. Pesé (2025). LLM-Powered Fuzz Testing of Automotive Diagnostic Protocols.
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Andrew Roberts, Lorenz Teply, Mert D. Pesé, Olaf Maennel, Mohammad Hamad, Sebastian Steinhorst (2025). FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software. arXiv preprint arXiv:2504.10717.
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Arkajyoti Mitra, Afia Anjum, Paul Agbaje, Mert D. Pesé, Habeeb Olufowobi (2025). FedVLM: Scalable Personalized Vision-Language Models through Federated Learning. The European Conference on Artificial Intelligence (ECAI'25).
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